“And, therefore – they says – machines must be able to ‘learn automatically from experience’ (or learn by themselves through experience, one could also say). In its skinny simplicity, this phrase condenses the current meaning of machine learning and its arborescent variant, deep learning. This synthesis is not enough to philosophers, of course. What is ‘learning’, what is ‘automation’, what is ‘experience’ in this context? Operationally, we talk about transforming data into vectorized geometric spaces, optimizing the search for fitting functions, adjusting weights and bias through errors backpropagation and much more. How, then, the world (and the business) becomes thinkable and actionable through this – not new, but renewed – practice on data? Ultimately, how does the machine encounters the world? ” (Accoto, 2019)

In my vision, the "philtech" approach must dare to create new forms of being and doing philosophy. So it is not just -sic et simpliciter- the application of philosophical analysis to new technologies. Instead, it is the will and the need to imagine and activate unthought/unthinkable theories and practices of philosophizing as embodied in new technologies. I believe that other forms and frames of philosophizing are now possible and, perhaps, unavoidable. Can we start looking, for example, at cryptography as a surprising philosophical practice of 'construction' and validation of new regimes of truth of the world? Or, again and viceversa, can we see hacking as an unexpected philosophical theory and practice of 'deconstruction' of our world? Provocatively, can we consider cryptographic primitives and intrusions via malware as emerging forms and practices of the 21st century philosophy? (Accoto 2019)